Update scraper.py

scraper.py

@@ -1,24 +1,46 @@
-# This is a template for a Python scraper on morph.io (https://morph.io)
-# including some code snippets below that you should find helpful
+###############################################################################
+# START HERE: Tutorial 2: Basic scraping and saving to the data store.
+# Follow the actions listed in BLOCK CAPITALS below.
+###############################################################################
 
-# import scraperwiki
-# import lxml.html
-#
-# # Read in a page
-# html = scraperwiki.scrape("http://foo.com")
-#
-# # Find something on the page using css selectors
-# root = lxml.html.fromstring(html)
-# root.cssselect("div[align='left']")
-#
-# # Write out to the sqlite database using scraperwiki library
-# scraperwiki.sqlite.save(unique_keys=['name'], data={"name": "susan", "occupation": "software developer"})
-#
-# # An arbitrary query against the database
-# scraperwiki.sql.select("* from data where 'name'='peter'")
+import scraperwiki
+html = scraperwiki.scrape('http://inmo.ie/6022')
+print "Click on the ...more link to see the whole page"
+print html
+
+# -----------------------------------------------------------------------------
+# 1. Parse the raw HTML to get the interesting bits - the part inside <td> tags.
+# -- UNCOMMENT THE 6 LINES BELOW (i.e. delete the # at the start of the lines)
+# -- CLICK THE 'RUN' BUTTON BELOW
+# Check the 'Console' tab again, and you'll see how we're extracting 
+# the HTML that was inside <td></td> tags.
+# We use lxml, which is a Python library especially for parsing html.
+# -----------------------------------------------------------------------------
+
+import lxml.html
+root = lxml.html.fromstring(html) # turn our HTML into an lxml object
+tds = root.cssselect('td') # get all the <td> tags
+for td in tds:
+    print lxml.html.tostring(td) # the full HTML tag
+    print td.text                # just the text inside the HTML tag
+
+# -----------------------------------------------------------------------------
+# 2. Save the data in the ScraperWiki datastore.
+# -- UNCOMMENT THE THREE LINES BELOW
+# -- CLICK THE 'RUN' BUTTON BELOW
+# Check the 'Data' tab - here you'll see the data saved in the ScraperWiki store. 
+# -----------------------------------------------------------------------------
+
+for td in tds:
+     record = { "td" : td.text } # column name and value
+  try:
+     scraperwiki.sqlite.save(["td"], record) # save the records one by one
+  except:
+    record = { "td" : "NO ENTRY" } # column name and value
+    scraperwiki.sqlite.save(["td"], record) # save the records one by one
+
+# -----------------------------------------------------------------------------
+# Go back to the Tutorials page and continue to Tutorial 3 to learn about 
+# more complex scraping methods.
+# -----------------------------------------------------------------------------
 
-# You don't have to do things with the ScraperWiki and lxml libraries.
-# You can use whatever libraries you want: https://morph.io/documentation/python
-# All that matters is that your final data is written to an SQLite database
-# called "data.sqlite" in the current working directory which has at least a table
-# called "data".